A strong law of large number for negatively dependent and non identical distributed random variables in the framework of sublinear expectation
DOI10.1080/03610926.2018.1508708OpenAlexW2911691169WikidataQ128521247 ScholiaQ128521247MaRDI QIDQ5077878
Feng Hu, Jingbo Sun, Zhaojun Zong, Miaomiao Gao
Publication date: 20 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1508708
sublinear expectationnegatively dependentstrong law of large numbers (SLLN)non additive probabilitynon identical distribution
Statistics (62-XX) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Generalizations of martingales (60G48)
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Cites Work
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